English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/65788
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:


A unified approach to superresolution and multichannel blind deconvolution

AuthorsSroubek, F.; Cristóbal, Gabriel ; Flusser, J.
Issue Date2007
PublisherInstitute of Electrical and Electronics Engineers
CitationIEEE Transactions on Image Processing 16(9): 2322- 2332 (2007)
AbstractThis paper presents a new approach to the blind deconvolution and superresolution problem of multiple degraded low-resolution frames of the original scene. We do not assume any prior information about the shape of degradation blurs. The proposed approach consists of building a regularized energy function and minimizing it with respect to the original image and blurs, where regularization is carried out in both the image and blur domains. The image regularization based on variational principles maintains stable performance under severe noise corruption. The blur regularization guarantees consistency of the solution by exploiting differences among the acquired low-resolution images. Several experiments on synthetic and real data illustrate the robustness and utilization of the proposed technique in real applications. © 2007 IEEE.
Identifiersdoi: 10.1109/TIP.2007.903256
issn: 1057-7149
Appears in Collections:(CFMAC-IO) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFThumbnail
Show full item record
Review this work

Related articles:

WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.